• français
    • English
  • français 
    • français
    • English
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.
BIRD Home

Browse

This CollectionBy Issue DateAuthorsTitlesSubjectsJournals BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesSubjectsJournals

My Account

Login

Statistics

View Usage Statistics

LabelFlow: Exploiting Workflow Provenance to Surface Scientific Data Provenance

Thumbnail
Date
2015
Dewey
Programmation, logiciels, organisation des données
Sujet
Provenance; Annotation; Scientific workflows
DOI
http://dx.doi.org/10.1007/978-3-319-16462-5_7
Conference name
5th International Provenance and Annotation Workshop, IPAW 2014
Conference date
06-2014
Conference city
Cologne
Conference country
Germany
Book title
Provenance and Annotation of Data and Processes. 5th International Provenance and Annotation Workshop, IPAW 2014, Cologne, Germany, June 9-13, 2014. Revised Selected Papers
Author
Bertram Ludäscher, Beth Plale
Publisher
Springer
Publisher city
Berlin Heidelberg
Year
2015
ISBN
978-3-319-16461-8
Book URL
10.1007/978-3-319-16462-5
URI
https://basepub.dauphine.fr/handle/123456789/15621
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Alper, Pinar
61716 University of Manchester
Belhajjame, Khalid
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Goble, Carole
118330 Computer Science Department [Manchester] [CS]
Karagoz, pinar
20740 Universite Bilkent [Ankara]
Type
Communication / Conférence
Item number of pages
84-96
Abstract (EN)
Provenance traces captured by scientific workflows can be useful for designing, debugging and maintenance. However, our experience suggests that they are of limited use for reporting results, in part because traces do not comprise domain-specific annotations needed for explaining results, and the black-box nature of some workflow activities. We show that by basic mark-up of the data processing within activities and using a set of domain specific label generation functions, standard workflow provenance can be utilised as a platform for the labelling of data artefacts. These labels can in turn aid selection of data subsets and proxy for data descriptors for shared datasets.

  • Accueil Bibliothèque
  • Site de l'Université Paris-Dauphine
  • Contact
SCD Paris Dauphine - Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16

 Content on this site is licensed under a Creative Commons 2.0 France (CC BY-NC-ND 2.0) license.